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November 28, 2017SHILAP Revista de lepidopterología9,045 citationsOpen Access

QuPath: Open source software for digital pathology image analysis

PBPeter BankheadMLMaurice B. LoughreyJFJosé A. Fernández

Key Points

  • This research aims to present QuPath as an open-source solution for digital pathology image analysis.
  • Developed software tailored for digital pathology and whole slide image analysis.
  • Provided features for tumor identification and biomarker evaluation.
  • Included batch-processing and scripting functionalities.
  • QuPath facilitates high-throughput biomarker evaluation.
  • Offers a user-friendly platform for developing new algorithms.
  • Applicable across various biomedical research image analysis needs.

Abstract

QuPath is new bioimage analysis software designed to meet the growing need for a user-friendly, extensible, open-source solution for digital pathology and whole slide image analysis. In addition to offering a comprehensive panel of tumor identification and high-throughput biomarker evaluation tools, QuPath provides researchers with powerful batch-processing and scripting functionality, and an extensible platform with which to develop and share new algorithms to analyze complex tissue images. Furthermore, QuPath's flexible design makes it suitable for a wide range of additional image analysis applications across biomedical research.

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Cite This Study

Bankhead et al. (2017) studied this question.

synapsesocial.com/papers/69d6c812fca0359822aa8763https://doi.org/10.1038/s41598-017-17204-5
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  5. 5Automating tumor-infiltrating lymphocyte assessment in breast cancer histopathology images using QuPath: a transparent and accessible machine learning pipeline2025